tomat 🍅 — CS2 Stats

ID76561198362806588[U:1:402540860]Steam profile ↗✓ No bans

1,107Tracked matches52%Win rate2020Tracked since

2,005Hours in CS4Hrs last 2 wks

CSDB Rating5.6 Solid

Premier CS Rating21,598Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)

CSDB Leaderboard#10537 of 33549 tracked

FaceitLevel 8 · 1,270 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 8 median	Level 9 median	vs Level 9
Headshot rate	43.6%	47.2%	49.0%	5.4% short
Shot accuracy	6.3%	12.3%	13.1%	6.7% short
Kill/death ratio	1.34	1.07	1.08	above
Match win rate	41.8%	46.3%	46.9%	5.2% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim58

Positioning52

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLWWWWLLLLW

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Aim5.8

Aggression4.0

Utility6.2

Positioning5.2

Opening Duels2.2

Clutch3.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like NiKo 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 52% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 628ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.8

Positioning5.2

Utility6.2

Mechanics6.4

Opening Duels2.8

Win Impact5.6

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time622ms+3ms

first ⅓ avg 620ms → last ⅓ avg 622ms

Headshot accuracy17.6%−0.1%

first ⅓ avg 17.7% → last ⅓ avg 17.6%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.21Best rating — nuke 13–9

13–2Biggest win — nuke

5Longest win streak

7–9In matches decided by ≤2 rounds

15Overtime games

Map breakdown

nukeBest map · 100% over 8cacheWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	33	15–18	45%	0.02
mirage	A	20	11–9	55%	0.03
inferno	A	12	7–5	58%	0.02
anubis	C	11	4–7	36%	0.00
ancient	D	10	2–8	20%	0.00
nuke	S	8	8–0	100%	0.07
cache	D	6	1–5	17%	-0.00

Across the last 100 tracked matches.

Lifetime stats

74,288Lifetime kills

1.34K/D · Top 25% of Level 8 players

3,699Matches

41.8%Match win rate

43.6%Headshot %

6.3%Shot accuracy

6,982MVPs

1,205Hours (in match)

3,379Bombs planted

1,296Bombs defused

Most-used weapons

AK-4719,019

M4A4 / M4A1-S11,905

AWP7,824

P2000 / USP-S5,122

Desert Eagle3,343

Glock-183,162

Galil AR2,850

FAMAS1,840

MP91,828

MP71,808

Lifetime map wins

13,623dust2

2,290inferno

1,203nuke

449vertigo

404train

125lake

121safehouse

103ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

130Matches

55%Win rate

1.34Avg K/D

81.8ADR

41%Headshot %

Clutches & streaks

39%1v1 clutch win

26%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	33	45%	1.40	17.9
Dust2	32	62%	1.33	17.3
Anubis	21	67%	1.29	16.4
Inferno	19	68%	1.51	19.2
Ancient	12	42%	1.27	16.9
Overpass	7	29%	1.17	20.9
Nuke	4	75%	1.08	14.5
Cache	2	0%	0.92	14.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.4%Headshot accuracy

32.6%Accuracy (enemy spotted)

34.9%Spray accuracy

78.7%Counter-strafing

10.5°Preaim

628msReaction time

25.6%T opening success

52.1%CT opening success

0.53Enemies flashed / flash

5.4%Flash assists

12.05HE damage / grenade

15.58Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 25.5613% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	14–16	0.01	12%	20 Aug →
nuke	13–5	0.12	23%	20 Aug →
cache	13–11	0.08	28%	18 Aug →
inferno	13–8	0.06	11%	17 Aug →
dust2	13–8	0.05	16%	17 Aug →
anubis	10–13	0.00	17%	8 Aug →
cache	4–13	-0.04	22%	7 Aug →
mirage	11–13	-0.00	18%	7 Aug →
dust2	17–19	0.01	19%	7 Aug →
dust2	13–9	0.00	24%	7 Aug →
mirage	8–13	-0.00	15%	7 Aug →
ancient	13–8	0.01	15%	7 Aug →
nuke	13–2	0.07	14%	7 Aug →
mirage	13–8	0.06	14%	7 Aug →
dust2	16–13	0.02	25%	6 Aug →
mirage	22–20	-0.00	16%	6 Aug →
mirage	11–13	0.10	20%	6 Aug →
ancient	11–13	-0.01	9%	6 Aug →
mirage	11–13	-0.02	21%	6 Aug →
nuke	13–5	0.10	20%	6 Aug →
nuke	16–13	0.03	13%	6 Aug →
dust2	15–15	0.05	19%	6 Aug →
ancient	9–13	-0.04	17%	6 Aug →
anubis	7–13	-0.05	10%	5 Aug →
mirage	13–9	0.07	12%	5 Aug →
dust2	4–13	-0.01	23%	5 Aug →
inferno	13–8	0.06	13%	5 Aug →
dust2	6–13	-0.07	19%	5 Aug →
mirage	13–7	0.02	12%	5 Aug →
dust2	7–13	-0.03	28%	4 Aug →
inferno	13–10	0.01	21%	4 Aug →
dust2	14–16	0.07	20%	3 Aug →
dust2	10–13	0.08	17%	3 Aug →
inferno	10–13	-0.01	27%	3 Aug →
dust2	13–6	0.12	20%	3 Aug →
dust2	13–5	0.08	20%	2 Aug →
mirage	13–6	0.03	19%	2 Aug →
dust2	13–9	-0.02	21%	2 Aug →
ancient	7–13	0.00	8%	2 Aug →
cache	12–16	-0.03	15%	2 Aug →
mirage	8–13	-0.01	16%	2 Aug →
inferno	9–13	-0.01	22%	29 Jul →
dust2	13–8	0.02	11%	29 Jul →
anubis	13–11	-0.05	8%	29 Jul →
dust2	13–9	0.03	27%	29 Jul →
dust2	5–13	-0.03	30%	29 Jul →
ancient	6–13	0.00	20%	29 Jul →
dust2	13–6	0.03	16%	27 Jul →
dust2	16–13	0.07	20%	27 Jul →
mirage	13–7	0.06	21%	26 Jul →
mirage	8–13	0.02	10%	25 Jul →
ancient	13–9	0.08	15%	25 Jul →
ancient	5–13	0.03	18%	25 Jul →
mirage	8–13	0.00	9%	24 Jul →
inferno	13–8	-0.07	23%	24 Jul →
anubis	10–13	-0.05	8%	24 Jul →
inferno	13–6	0.07	14%	23 Jul →
cache	13–16	0.02	23%	21 Jul →
anubis	13–11	0.02	12%	20 Jul →
ancient	7–13	-0.06	10%	20 Jul →
anubis	16–13	0.04	9%	20 Jul →
dust2	2–13	0.02	17%	20 Jul →
mirage	11–13	0.05	17%	20 Jul →
anubis	13–5	-0.01	16%	20 Jul →
inferno	7–13	-0.01	12%	20 Jul →
mirage	7–13	-0.06	8%	20 Jul →
anubis	7–13	0.01	15%	20 Jul →
ancient	7–13	-0.02	12%	19 Jul →
dust2	9–13	-0.01	19%	19 Jul →
mirage	13–6	0.07	16%	18 Jul →
dust2	13–5	0.01	23%	18 Jul →
dust2	6–13	-0.02	14%	18 Jul →
inferno	10–13	0.02	16%	18 Jul →
nuke	13–10	0.03	16%	18 Jul →
anubis	12–16	0.06	19%	18 Jul →
inferno	13–7	0.01	26%	17 Jul →
dust2	13–7	0.10	22%	17 Jul →
mirage	13–5	0.06	26%	17 Jul →
nuke	16–14	0.00	13%	17 Jul →
dust2	9–13	0.07	25%	16 Jul →
cache	9–13	-0.02	22%	16 Jul →
dust2	13–11	0.06	14%	15 Jul →
dust2	16–14	0.04	18%	14 Jul →
dust2	9–13	-0.02	12%	14 Jul →
anubis	8–13	0.06	14%	14 Jul →
dust2	5–13	-0.07	4%	14 Jul →
mirage	13–8	0.05	25%	14 Jul →
inferno	8–13	0.03	19%	13 Jul →
nuke	13–9	0.21	20%	13 Jul →
dust2	13–9	0.08	16%	12 Jul →
nuke	13–7	-0.01	9%	12 Jul →
dust2	3–13	-0.03	11%	12 Jul →
cache	11–13	-0.01	14%	12 Jul →
ancient	10–13	0.06	13%	12 Jul →
dust2	15–15	0.03	24%	12 Jul →
mirage	13–7	0.05	16%	12 Jul →
mirage	13–7	0.15	25%	11 Jul →
anubis	7–13	-0.03	20%	11 Jul →
dust2	10–13	0.07	18%	11 Jul →
inferno	13–9	0.07	22%	11 Jul →